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Applies machine learning and advanced analytics to solve supply chain problems including demand forecasting, route optimization, and inventory management, using Python, SQL, and big data tools.
A Junior Data Scientist implements AI models (computer vision, time series forecasting) for FieldPro by Optimetriks, optimizing models, creating dashboards, and collaborating with teams to deliver insights for clients, using Python, SQL, and ML libraries like TensorFlow/PyTorch.
The Data Scientist will develop AI and machine learning models, including Generative AI solutions, to support Singapore government agencies. The role involves full-stack development, data wrangling, and maintaining AI-powered applications using technologies like Python, AWS, and various LLM frameworks.
Build, deploy, and maintain AI/ML models and services, including Generative AI and RAG systems, using Python, PyTorch, and cloud-native tools.
Build predictive models and AI solutions to drive business decisions using Python, SQL, and ML in a data-heavy product company.
Senior Data Scientist building and scaling connected agentic AI systems (multi-agent LLM workflows, RAG pipelines) in Python and SQL at AB InBev's Bangalore office, partnering with business stakeholders to deliver production-ready ML solutions.
Designs and deploys end-to-end machine learning solutions for clients, bridging business problems with statistical modeling, cloud-based analytics, and production-grade MLOps. Focuses on Azure-based pipelines, model governance, and stakeholder collaboration.
Lead Data Science initiatives for CCOR Conduct, designing and deploying production-grade GenAI/ML solutions for risk and compliance use cases (AML, fraud, sanctions), managing the end-to-end model lifecycle with Python and various ML techniques.
Build and deploy ML models from scratch (e.g., Random Forests, Neural Networks) to detect spam and threats, using Python and cloud infrastructure without managed services.
Builds data products like reports and dashboards, engineers features, and applies AutoML to deliver predictive models that inform business decisions.
Builds and deploys AI/ML models (including GenAI and agentic systems) for fintech operations, focusing on prompt engineering, model evaluation, and production monitoring to improve customer and business outcomes.
Senior Data Engineer designing and building scalable Azure Databricks-based data pipelines, ETL processes, and lakehouse architectures using Python, SQL, Apache Spark, and Delta Lake at a law firm.
Data Engineer designing and maintaining scalable cloud-based data pipelines (primarily Snowflake) and ETL/ELT processes, supporting predictive analytics and AI/ML initiatives at an insurance company.
The Staff Data Scientist will lead the development of next-generation AI systems and autonomous agents to improve Walmart's global operations. The role involves architecting end-to-end ML pipelines, mentoring senior talent, and deploying production-grade AI solutions using technologies like PyTorch, LangChain, and cloud-based ML platforms.
The Leidos Digital Modernization Sector has a career opportunity for a Technical Development Lead - Real-Time Visibility supporting the Global Solutions Management - Operations II (GSM-O II) contract with the Defense…
RESPONSIBILITIES & TASKS: AI Solution Development Design, develop, test, and deploy AI/ML models supporting business and operational outcomes. Build and maintain AI services, APIs, and microservices for enterprise…
RESPONSIBILITIES & TASKS: Data Exploration and Analysis Perform exploratory data analysis on enterprise datasets to identify trends, patterns, anomalies, and opportunities. Develop analytical frameworks to support…
The Junior Machine Learning Engineer will assist senior staff in implementing, training, and evaluating models while maintaining data pipelines for media and IT infrastructure solutions. The role focuses on hands-on development using Python and requires a strong foundation in machine learning fundamentals.
The Gen AI Engineer will design and build agentic AI systems, RAG pipelines, and scalable data infrastructure using Python, SQL, and cloud technologies. The role focuses on implementing MLOps/DataOps automation and integrating LLM-powered applications into production environments.
This Data Scientist role at Lyft focuses on using causal inference and machine learning to optimize safety and customer care operations. The position involves designing experiments, building causal models to improve support interactions, and collaborating with cross-functional teams to drive data-informed decisions.
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